Inventory Optimization Analyst - Data-Driven, Hybrid Role

applied works; Woking; Hybrid; GBP 32,000 - 48,000; Full time

Benefits offered by this job

Annual leave 25 days + bank holidays

Parental leave & pay

Hybrid working

Life assurance 4x base salary

Pension plan

Private healthcare (family options)

Electric car salary sacrifice

Job summary

Motion Applied, a technology company born from McLaren Group, is seeking an Inventory Analyst to drive accuracy, visibility and optimisation across Stores, Purchasing and planning functions.

You will analyse stock data, identify discrepancies, implement corrective actions and provide insights to improve material control and production availability, while promoting data-driven, right-first-time practices.

Qualifications

• Experience in inventory, supply chain, or data analysis role.
• Strong analytical capability and Excel/ERP skills.
• Understanding of stock control principles (FIFO, traceability, cycle counting).
• Manufacturing experience desirable.

Responsibilities

• Monitor inventory accuracy, discrepancies, and trends across all stock locations.
• Lead root cause analysis of stock variances and implement corrective actions.
• Maintain integrity of inventory data within ERP/MRP systems.
• Design and support cycle count programmes based on risk and usage.
• Provide accurate stock and usage data to support purchasing decisions and order planning.
• Highlight shortages, excess stock, and slow-moving inventory to drive proactive actions.
• Develop and deliver reports on stock accuracy, inventory value, shortages, and ageing.
• Lead initiatives to improve inventory control and reduce waste.

Skills

Inventory experience

Analytical skills

Excel

ERP systems

Stock control principles

Tools

ERP systems

Job description

Motion Applied, a technology company born from McLaren Group, is seeking an Inventory Analyst to drive accuracy, visibility and optimisation across Stores, Purchasing and planning functions.

You will analyse stock data, identify discrepancies, implement corrective actions and provide insights to improve material control and production availability, while promoting data-driven, right-first-time practices.